{"id":"W4394710876","doi":"10.48550/arxiv.2404.06514","title":"Disentangling transitions in topological order induced by boundary decoherence","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Mathematical Modeling in Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Périmètre de physique théorique; Government of Canada; Ministry of Colleges and Universities; Innovation, Science and Economic Development Canada","keywords":"Quantum decoherence; Boundary (topology); Order (exchange); Topology (electrical circuits); Physics; Topological order; Statistical physics; Theoretical physics; Quantum mechanics; Mathematics; Quantum; Business; Mathematical analysis; Combinatorics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001307603,0.0002663574,0.0002881844,0.0001893467,0.00007017722,0.0001175343,0.001010666,0.0002568901,0.0000173981],"category_scores_gemma":[0.00005502057,0.0002946726,0.0001062441,0.0007050409,0.00007039824,0.0002063423,0.001209127,0.001039542,0.00004606564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482473,"about_ca_system_score_gemma":0.0001217083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001333633,"about_ca_topic_score_gemma":0.00002035914,"domain_scores_codex":[0.9983959,0.00004487608,0.0002277873,0.0009072302,0.00008267584,0.000341504],"domain_scores_gemma":[0.9990367,0.0001054315,0.00005264205,0.0006266432,0.00005418765,0.000124438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004641124,0.00009879359,0.00004607113,0.0001519304,0.00002619834,0.0003430609,0.0003978817,0.6612856,0.000224044,0.3369705,0.00002551001,0.0004258068],"study_design_scores_gemma":[0.00009536653,0.00001289445,0.00000784732,0.0001597223,0.00001326073,0.000002559254,0.00003942692,0.654469,0.00004577435,0.344909,0.00001823258,0.0002269073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2398495,0.0001177362,0.7582092,0.0001945581,0.0003544257,0.0001680962,0.000009651939,0.000332657,0.0007641753],"genre_scores_gemma":[0.9770166,0.00003068824,0.02271765,0.00004951156,0.00002700478,0.000003467666,0.000006576764,0.00001866497,0.0001298712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7371671,"threshold_uncertainty_score":0.9999505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.065656969286214,"score_gpt":0.216858986379841,"score_spread":0.151202017093627,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}